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AIOps Engineer
Title: AIOps Engineer
Category: Medical Health
Job type: Permanent
Job status: Full Time
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Kheiron is a fast-growing, medical technology company. We use advanced Deep Learning to build intelligent tools to empower radiologists, radiology departments, imaging centers and hospitals. We aim to improve the efficiency, consistency and accuracy of radiology reporting, ultimately, saving lives.

We believe that by empowering radiologists, we can improve diagnosis, treatment, and patient outcomes.

We are a diverse (15 nationalities) enthusiastic, passionate and hardworking team looking to add similarly minded people (uniqueness) to our engineering team (Borg collective).

As we are in the midst of a fast growth period, it’s an exciting time to join the team and the company’s mission. You will have a direct impact on the company’s future success.

We are looking for someone to join our team as a DevOps Engineer.

Our ideal candidate is on a DevOps has experience, cloud automation, on-prem/cloud infrastructure, containers, and kubernetes.

With us you will have the opportunity to architect and automate infrastructure at a global scale in a distributed hybrid cloud. Teaming your creativity with tools such as Terraform, Ansible and Kubernetes/Docker, you'll help design and manage peta-scale compute, storage, and networking solutions. You will work daily with a high-output research and engineering team working on machine learning, yielding experience with TensorFlow, PyTorch, and other machine learning tools and frameworks.


- 2-5 years professional experience administering and architecting Linux-based systems and solutions

- Experience containerising workloads with Docker

- Professional experience with at least one major public cloud provider

- Hands on experience with Terraform, Ansible and/or other cloud infrastructure-as-code and configuration management technologies.

- Hands on experience with security policy management/authentication and automation.

- Experience setting up CI/CD pipelines

- Scripting experience (e.g. BASH, Python etc)

Experience with the following technologies is highly preferred

- Ubuntu

- Python

- Kubernetes

- Terraform

- Ansible

- AWS/Azure


The opportunity to work alongside and directly influence a dedicated team, at the cutting edge of research, creating products to help in early detection of cancer Competitive salary, dependent on experience % Equity (share options) in the company The opportunity to travel to conferences The freedom to expand your skills in various aspects of engineering
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